Principal Data Scientist

Bangalore Urban, Karnataka, India
May 17, 2024
May 14, 2025
Onsite
Full-Time
8 Years
Job Description

Are you passionate about leveraging cutting-edge data science techniques to revolutionize the travel industry? MakeMyTrip is seeking a Principal Data Scientist to lead our efforts in enhancing hotel ranking recommendation systems. This is a unique opportunity for a seasoned expert to make a significant impact on one of India's leading travel platforms.

Responsibilities

  1. Develop Advanced Ranking Models. Spearhead the development, deployment, and monitoring of state-of-the-art deep learning (DL) and machine learning (ML) ranking search models. This includes learning to rank algorithms and multi-objective ranking boosting algorithms.
  2. Collaborate Across Teams. Engage with product and tech stakeholders throughout the project lifecycle. From data acquisition to A/B experimentation, your insights will shape the evolution of our recommendation systems.
  3. Mentorship. Guide and mentor junior data scientists and software engineers, fostering a culture of continuous learning and growth within the team.
  4. Ownership of Ranking Platform. Take ownership of the ranking platform, ensuring its robustness and scalability. Enhance model infrastructure pipelines, evaluation pipelines, and scalable APIs to deliver exceptional performance under high load conditions.
  5. Data Utilization. Leverage the vast datasets available at MakeMyTrip & GoIbibo to create significant business impact through data science-driven insights.

Desired Profile

  1. Expertise in DL/ML Ranking Algorithms. Highly proficient in DL/ML ranking/re-ranking with a solid foundation in mathematics and statistics.
  2. Deep Learning Deployment. Experienced in training and deploying deep learning models specifically tailored for ranking and search systems.
  3. Model Variety. Skilled in training tabular DL, sequential, and graph neural network (GNN) models. Proficient in user, session, and product/item representation learning.
  4. Analytical Skills. Capable of performing complex SQL and Python data analyses, error analyses, A/B metric evaluation, and effectively bridging gaps between business objectives and offline metrics.
  5. Adaptability. Comfortable thriving in a fast-paced, quarterly business impact-driven environment typical of the dynamic e-commerce sector.

Qualifications

  • Bachelor's degree (BE/BTech) from Tier 1 colleges (IITs/ IIIT/ NITs).
  • Master's or Ph.D. in CS/ECE/AI/ML or equivalent fields.
  • 8-11 years of work experience in data science, AI, or ML, with a minimum of 3 years in e-commerce B2C.

Join Us

Embark on a rewarding journey with MakeMyTrip and become part of a team that transforms data into tangible business assets. Apply now and play a pivotal role in driving significant business impact through data science in the realm of e-commerce.